Details
Information, Interaction, and Agency
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53,49 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 06.12.2005 |
| ISBN/EAN: | 9781402040948 |
| Sprache: | englisch |
| Anzahl Seiten: | 334 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>Contemporary epistemological and cognitive studies, as well as recent trends in computer science and game theory have revealed an increasingly important and intimate relationship between <EM>Information</EM>, <EM>Interaction</EM>, and <EM>Agency</EM>.</P>
<P>Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective <EM>Information, Interaction, and Agency</EM> neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting.</P>
<P>Unified by the central notions <EM>Information</EM>, <EM>Interaction</EM>, and <EM>Agency</EM>, the essays in this volume provide refreshing methodological perspectives on belief revision, dynamic epistemic logic, von Neumann games, and evolutionary game theory; all of which in turn are central approaches to understanding our own rationality and that of other agents.</P>
<P>Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective <EM>Information, Interaction, and Agency</EM> neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting.</P>
<P>Unified by the central notions <EM>Information</EM>, <EM>Interaction</EM>, and <EM>Agency</EM>, the essays in this volume provide refreshing methodological perspectives on belief revision, dynamic epistemic logic, von Neumann games, and evolutionary game theory; all of which in turn are central approaches to understanding our own rationality and that of other agents.</P>
Logics for Epistemic Programs.- A Counterexample to Six Fundamental Principles of Belief Formation.- Comparing Semantics of Logics for Multi-Agent Systems.- A Characterization of Von Neumann Games in Terms of Memory.- An Evolutionary Game Theoretic Perspective on Learning in Mult-Agent Systems.- Evolution of Conventional Meaning and Conversational Principles.- Nonmonotonic Inferences and Neural Networks.- A Model of Jury Decisions Where All Jurors Have the Same Evidence.- A Sat-Based Approach to Unbounded Model Checking for Alternating-Time Temporal Epistemic Logic.- Update Semantics of Security Protocols.
Goes across 'classical' borderlines of disciplines Unifies logic, game theory, epistemics and studies in multi-agent systems Combination of classical and novel approaches to information, interaction and agency
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